The Harder-Narasimhan Filtration and Stability Conditions for Vector Bundles
Delve into the mathematical theory of stability conditions and Harder-Narasimhan filtration for vector bundles, exploring their applications in geometric invariant theory and moduli spaces.
Is There Geometric Recursion for the Moduli Space of Toric Varieties?
Explore moduli space of quantum toric varieties, drawing parallels with geometric recursion. Delve into quantum lattices, tori, and CP1, examining group actions, calibration, and quantum geometric invariant theory.
Windows and Geometric Invariant Theory
Explore windows theory in algebraic geometry, its applications to GIT constructions, and its impact on derived categories and stability conditions in various mathematical contexts.
Quantum Toric Geometry II - Non-Commutative Geometric Invariant Theory
Explore quantum geometric invariant theory, extending classical GIT to non-commutative cases. Gain insights into cutting-edge research in quantum toric geometry.
Equidistribution of Expanding Translates of Curves in Homogeneous Spaces
Explores equidistribution of expanding translates of non-degenerate real-analytic curves in semisimple group spaces, extending previous work and applying to Diophantine approximation on matrices.
On Some Fans and Toric Varieties Related to Branching Laws for Reductive Groups
Explore algebraic group embeddings and their representation theory through Geometric Invariant Theory, focusing on H-invariant vectors and the GIT-fan's role in encoding information.
Felix Klein Lectures 2020: Quiver Moduli and Applications
Explore quiver moduli spaces' topology, geometry, and cohomology. Discover applications in Gromov-Witten and Donaldson-Thomas theory through wall-crossing techniques in advanced algebraic geometry.
Quiver Moduli and Applications
Explore quiver moduli spaces: construction, topology, geometry, and applications in Donaldson-Thomas and Gromov-Witten theory. Delve into cohomology and wall-crossing phenomena in algebraic geometry.
Felix Klein Lectures 2020: Quiver Moduli and Applications
Explore quiver moduli spaces' topology, geometry, and cohomology. Discover applications in Gromov-Witten and Donaldson-Thomas theory through wall-crossing techniques in advanced algebraic geometry.
Felix Klein Lectures 2020 - Quiver Moduli and Applications
Explore quiver moduli spaces' construction, topology, and geometry, with focus on cohomology and applications to Gromov-Witten and Donaldson-Thomas theories via wall-crossing.
Felix Klein Lectures 2020- Quiver Moduli and Applications
Explore quiver moduli spaces: their construction, topology, and applications in representation theory, Gromov-Witten theory, and Donaldson-Thomas theory. Gain insights into these algebraic varieties and their geometric properties.
Full Exceptional Collections on Linear GIT Quotients
Explore exceptional collections on linear GIT quotients, delving into advanced mathematical concepts with insights from Kimoi Kemboi's research at the Fields Medal Symposium.
Moduli Spaces of Points on the Projective Line and Other Varieties with Many Symmetries
Explore equivariant birational geometry through recent results and constructions presented by Yuri Tschinkel from SCGP & NYU.
Structure of Equivariant Derived Categories - ICBS 2024
Explore equivariant derived categories, their structure theorems, and applications to GIT quotients and hidden symmetries in algebraic geometry.
Quotients of Groups of Birational Transformations - Class 4
Explore quotients of birational transformation groups in this advanced algebraic geometry lecture by Susanna Zimmermann, part of the V Latin American School of Algebraic Geometry at IMPA.
Сагайдачні Многовиди - Частина 2
Dive into advanced mathematical physics concepts, exploring quiver varieties, symplectic quotients, and the Kempf-Ness theorem, culminating in an in-depth study of Nakajima varieties.
A Canonical Form for Tensor Networks
Découvrez une forme canonique pour les réseaux de tenseurs, basée sur la théorie des invariants géométriques. Explorez ses applications potentielles, notamment pour améliorer la confidentialité dans l'apprentissage automatique.